Spatio-Temporal Statistics with R
R Graphics, Third Edition
Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis
R Markdown: The Definitive Guide
blogdown: Creating Websites with R Markdown
Christopher Wikle, Andrew Zammit Mangion, Noel Cressie
February 28, 2019
The first two authors published a classic book with Wiley entitled 'Statistics for Spatio-Temporal Data'. This book is a companion volume to that one focussed on the implementation of the methods using R. It will include brief overviews of the methodology, but will mainly point to their other book,...
Max Marchi, Jim Albert, Benjamin S. Baumer
December 04, 2018
Analyzing Baseball Data with R Second Edition introduces R to sabermetricians, baseball enthusiasts, and students interested in exploring the richness of baseball data. It equips you with the necessary skills and software tools to perform all the analysis steps, from importing the data to...
November 22, 2018
Do you want to use R to tell stories? This book was written for you—whether you already know some R or have never coded before. Most R texts focus only on programming or statistical theory. Practical R for Mass Communication and Journalism gives you ideas, tools, and techniques for incorporating...
November 14, 2018
This third edition of Paul Murrell’s classic book on using R for graphics represents a major update, with a complete overhaul in focus and scope. It focuses primarily on the two core graphics packages in R - graphics and grid - and has a new section on integrating graphics. This section includes...
Jonathan K. Regenstein, Jr.
October 04, 2018
Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny...
Oscar Perpinan Lamigueiro
August 14, 2018
Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R, Second Edition, presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data....
Yihui Xie, J.J. Allaire, Garrett Grolemund
July 17, 2018
R Markdown: The Definitive Guide is the first official book authored by the core R Markdown developers that provides a comprehensive and accurate reference to the R Markdown ecosystem. With R Markdown, you can easily create reproducible data analysis reports, presentations, dashboards, interactive...
Christopher D. Desjardins, Okan Bulut
May 02, 2018
Currently there are many introductory textbooks on educational measurement and psychometrics as well as R. However, there is no single book that covers important topics in measurement and psychometrics as well as their applications in R. The Handbook of Educational Measurement and Psychometrics...
Yihui Xie, Alison Presmanes Hill, Amber Thomas
December 12, 2017
blogdown: Creating Websites with R Markdown provides a practical guide for creating websites using the blogdown package in R. In this book, we show you how to use dynamic R Markdown documents to build static websites featuring R code (or other programming languages) with automatically rendered...
Graham J. Williams
July 13, 2017
The Essentials of Data Science: Knowledge Discovery Using R presents the concepts of data science through a hands-on approach using free and open source software. It systematically drives an accessible journey through data analysis and machine learning to discover and share knowledge from...
Mikis D. Stasinopoulos, Robert A. Rigby, Gillian Z. Heller, Vlasios Voudouris, Fernanda De Bastiani
May 08, 2017
This book is about learning from data using the Generalized Additive Models for Location, Scale and Shape (GAMLSS). GAMLSS extends the Generalized Linear Models (GLMs) and Generalized Additive Models (GAMs) to accommodate large complex datasets, which are increasingly prevalent. GAMLSS allows any...
Claus Thorn Ekstrom
March 01, 2017
Newcomers to R are often intimidated by the command-line interface, the vast number of functions and packages, or the processes of importing data and performing a simple statistical analysis. The R Primer provides a collection of concise examples and solutions to R problems frequently encountered...